Estimating the mean-reverting component in stock prices: A cross-country comparison

  • Liam A. Gallagher
  • , Lucio Sarno
  • , Mark P. Taylor

    Research output: Contribution to journalReview articlepeer-review

    Abstract

    This paper investigates the mean-reverting component in real stock prices for sixteen countries using a Kalman filter maximum likelihood estimation procedure to measure the transitory, permanent and seasonal components. Evidence is provided supporting the mean-reversion hypothesis that stock prices are not pure random walks: a statistically significant mean reverting component is found in each country's stock prices. Nevertheless, for twelve of the sixteen countries the transitory component does not explain more than 5% of the variation in stock prices.

    Original languageEnglish
    Pages (from-to)566-582
    Number of pages17
    JournalScottish Journal of Political Economy
    Volume44
    Issue number5
    DOIs
    StatePublished - Nov 1997

    Fingerprint

    Dive into the research topics of 'Estimating the mean-reverting component in stock prices: A cross-country comparison'. Together they form a unique fingerprint.

    Cite this